EndoTect: A Competition on Automatic Disease Detection in the Gastrointestinal Tract

Presentation Title	Presentation authors	Affiliation
The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy	Steven A. Hicks, Debesh Jha, Vajira Thambawita, Pål Halvorsen, Hugo L. Hammer, and Michael A. Riegler	Simula
A Hierarchical Multi-Task Approach to Gastrointestinal Image Analysis	Adrian Galdran, Gustavo Carneiro, and Miguel A. Gonz´alez Ballester
Delving into High Quality Endoscopic Diagnoses	Zhipeng Luo, Lixuan Che, and Jianye He
Medical Diagnostic by Data Bagging for Various Instances of Neural Network	Zeshan Khan, Muhammad Usman Tariq Alvi, Muhammad Atif Tahir, and Shahbaz Memon
Hybrid Loss with Network Trimming for Disease Recognition in Gastrointestinal Endoscopy	Qi He, Sophia Bano, Danail Stoyanov, and Siyang Zuo
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation	Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, and Pål Halvorsen	Simula
Efficient Detection of Lesions during Endoscopy	Amartya Dutta, Rajat Kanti Bhattacharjee, and Ferdous Ahmed Barbhuiya